Yes. Daniel Smith, Schmincke, Winsor & Newton, and other paint brands publish pigment codes (PB29, PR108, PY35, etc.) for every colour. Most curated art supply shops maintain those codes in WooCommerce attributes or ACF because serious watercolourists buy by pigment, not by brand colour name. SleekAI reads the field. Lightfastness rating, opacity, and granulating notes work the same way.

Yes. Paper weight in gsm, surface (hot press, cold press, rough), cotton percent, sheet size, and manufacturer are all read from product variations or meta. An artist asking for Arches 300gsm cold press in 56x76 gets the real stock answer. For sketchbooks and pads, the bot also reads page count and binding type if you store those.

Brush hair type (sable, synthetic, hog bristle, squirrel mop), shape (round, flat, mop, fan, rigger), and size are usually WooCommerce variations. SleekAI reads them. An artist asking for a synthetic mop in size 20 gets the matching brush or the closest substitute from the catalog. For artist-grade brushes, the bot can quote the series number and the country of manufacture if those live in product meta.

Workshops typically live in a CPT or as products with a session date and a seat limit. SleekAI reads both formats. The bot quotes the next session, the teacher, the cost, the materials provided, and the seat count, and either links to the booking flow or books the seat inside the chat via a small REST endpoint. Captures dietary or accessibility notes in the chat log.

Pigment mixing behaviour is the kind of advice that needs nuance, and the bot can describe published manufacturer notes but should not invent mixing chemistry. The system prompt steers the bot toward 'these pigments are typically used together in landscape palettes' rather than 'these pigments will react badly'. For deep pigment-mixing questions the bot offers to flag a staff member or suggest a relevant workshop.

Yes. If a colour, paper size, or brush is out of stock or not regularly carried, the bot captures the special-order request with the brand, the SKU if known, and the customer's contact. The request lands as a CPT entry or as a draft order in WooCommerce for the staff to confirm. For shops with a small but loyal customer base, the special-order pipeline is a meaningful margin contribution and the chat captures it cleanly.

Most art schools and continuing-ed programs publish a supply list at the start of term. If you maintain those lists in WordPress (a page, a CPT, or a PDF in the media library), SleekAI reads them. A student asking 'I need the supplies for the intro watercolour class at the local college' gets the list with each item linked to the right product in your catalog, plus a 'one-click add all' option if you wire it up that way.

All logs stay in the WordPress database with model name, token usage, and the page URL the chat happened on. Workshop bookings, special-order requests, and class-list lookups all flow through WordPress. For shops doing follow-up email to past workshop attendees, the chat log is the input that makes the next-workshop pitch personal because the prior conversation context is already attached.